While Transformer-based approaches achieve promising performance, they do not explicitly incorporate the code structure information which is important for capturing code semantics.
Experiments on popular apps from Google Play and Apple's App Store demonstrate the effectiveness of MERIT in identifying emerging app issues, improving the state-of-the-art method by 22. 3% in terms of F1-score.
Natural language interfaces to databases (NLIDB) democratize end user access to relational data.
Previous studies showed that replying to a user review usually has a positive effect on the rating that is given by the user to the app.
In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society.
This paper presents an unsupervised framework for jointly modeling topic content and discourse behavior in microblog conversations.